
The author explores workers' experiences with AI-based decision support tools in child welfare, highlighting the factors guiding their reliance on these systems and the challenges they face in integrating algorithmic predictions into their decision-making processes.


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AI-based decision support tools (ADS) are increasingly used to augment human decision-making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is critical that we understand workers’ exp…

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support

Understanding-Human-AI-Partnerships-in-Child-Welfare-Decision-Making


Understanding Human-AI Partnerships in Child Welfare Decision-Making
